Data Science

caret

Question 1
Marks : +2 | -2
Pass Ratio : 100%
Which of the following package tools are present in caret?
pre-processing
feature selection
model tuning
all of the mentioned
Explanation:
There are many different modeling functions in R.
Question 2
Marks : +2 | -2
Pass Ratio : 100%
Which of the following can also be used to find new variables that are linear combinations of the original set with independent components?
ICA
SCA
PCA
None of the mentioned
Explanation:
ICA stands for independent component analysis.
Question 3
Marks : +2 | -2
Pass Ratio : 100%
Which of the following can be used to impute data sets based only on information in the training set?
postProcess
preProcess
process
all of the mentioned
Explanation:
This can be done with K-nearest neighbors.
Question 4
Marks : +2 | -2
Pass Ratio : 100%
The preProcess class can be used for many operations on predictors.
True
False
Explanation:
Operations include centering and scaling.
Question 5
Marks : +2 | -2
Pass Ratio : 100%
Point out the wrong statement.
The trapezoidal rule is used to compute the area under the ROC curve
For regression, the relationship between each predictor and the outcome is evaluated
An argument, para, is used to pick the model fitting technique
All of the mentioned
Explanation:
An argument, nonpara, is used to pick the model fitting technique.
Question 6
Marks : +2 | -2
Pass Ratio : 100%
The function preProcess estimates the required parameters for each operation.
True
False
Explanation:
predict.preProcess is used to apply them to specific data sets.
Question 7
Marks : +2 | -2
Pass Ratio : 100%
Which of the following function tracks the changes in model statistics?
varImp
varImpTrack
findTrack
none of the mentioned
Explanation:
GCV change value can also be tracked.
Question 8
Marks : +2 | -2
Pass Ratio : 100%
Which of the following argument is used to set importance values?
scale
set
value
all of the mentioned
Explanation:
All measures of importance are scaled to have a maximum value of 100.
Question 9
Marks : +2 | -2
Pass Ratio : 100%
Which of the following can be used to create sub–samples using a maximum dissimilarity approach?
minDissim
maxDissim
inmaxDissim
all of the mentioned
Explanation:
Splitting is based on the predictors.
Question 10
Marks : +2 | -2
Pass Ratio : 100%
Which of the following curve analysis is conducted on each predictor for classification?
NOC
ROC
COC
All of the mentioned
Explanation:
For two class problems, a series of cutoffs is applied to the predictor data to predict the class.